Using an Improved Regularization Method and Rigid Transformation for Super-Resolution Applied to MRI Data by Matina Christina Zerva, Giannis Chantas, Lisimachos Paul Kondi

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Multi-Level Thresholding Color Image Segmentation Using Modified Gray Wolf Optimizer by Pei Hu, Yibo Han, Zheng Zhang

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Robust Portfolio Selection Under Model Ambiguity Using Deep Learning by Sadegh Miri, Erfan Salavati, Mostafa Shamsi

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Blotch Detection in Archive Films Based on Visual Saliency Map by Yildiz Aydin, Bekir Dizdaroğlu

“…A simple and effective visual saliency map method is taken into consideration in order to reduce computational complexity for the detection phase. After the visual saliency maps of the given frames are obtained, blotch regions are estimated by considered spatiotemporal patches—without the requirement for motion estimation—around the saliency pixels, which are subjected to a prethresholding process. …”
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Combination of Density‐Based Spatial Clustering With Grid Search Using Nash Equilibrium by Uranus Kazemi, Seyfollah Soleimani

“…The use of Nash equilibrium allows the identification of clusters with different densities and the determination of DBSCAN parameters and the selection of cells from the network, and significantly improves the efficiency and accuracy of the clustering process. The proposed method divides data into grid cells, applies DBSCAN to each cell, and then merges smaller clusters, capitalizing on dynamic parameter calculation and reduced computational complexity. …”
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Improving the Security of Video Embedding Using the CFP-SPE Method by Karthick Panneerselvam, K. Rajalakshmi, V. L. Helen Josephine, Dhivya Rajan, L. Visalatchi, K. Mahesh, Meroda Tesfaye

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Protective and fragmentation-aware routing of unicast data centre traffic in disaster-prone online SDM-EONs by Sourabh Chandra, Khokan Mondal, Souvik Singha

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bs-scheduler: A Batch Size Scheduler library compatible with PyTorch DataLoaders by George Stoica, Mihaela Elena Breabăn

“…Deep learning models involve computationally intensive training experiments. Increasing the batch size improves the training speed and hardware efficiency by enabling deep neural networks to ingest and process more data in parallel. …”
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Effect of Temporal Relationships in Associative Rule Mining for Web Log Data by Nazli Mohd Khairudin, Aida Mustapha, Mohd Hanif Ahmad

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Evaluation of the Cyber-Physical System State Under Destructive Impact Conditions Based on a Comprehensive Analysis of Parameters by Anton Mogilny, Elena Basan, Alexey Nekrasov

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Design of FPGA Speech Ｒecognition Four Ｒotor Aircraft Control System by JING Gu, ZHANG Xue-song

“…The FPGA can quickly process information combined voice control of the simple，accurate and flexible features． …”
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H∞ Filter Design for Networked Control Systems: A Markovian Jump System Approach by WanRu Wang, LianKun Sun, HongRu Gu

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Efficient Post-Quantum Cross-Silo Federated Learning Based on Key Homomorphic Pseudo-Random Function by Xiaoyuan Qin, Rui Xu

“…However, secure aggregation, which is essential to prevent data leakage during this process, often incurs significant communication and computational costs. …”
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Understanding Open Source Software Evolution Using Fuzzy Data Mining Algorithm for Time Series Data by Munish Saini, Sandeep Mehmi, Kuljit Kaur Chahal

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Simulation-based review of classical, heuristic, and metaheuristic path planning algorithms by Kenneth Christopher Ugwoke, Nwojo Agwu Nnanna, Saleh El-Yakub Abdullahi

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Neutrosophic Z-Number for Measuring Teaching Effectiveness in Ideological and Political Education: A University-Level Study based on Student Perception by Binna Li

“…Neutrosophic Z-Number (NZN) is used in this study to deal with uncertainty in the evaluation process. We use two methods, BWM to compute the criteria weights and the RAM method to rank the alternatives. …”
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Linear and nonlinear approach for DEM smoothening by S. Dinesh, P. Radhakrishnan

“…Peaks and pits, which are errors, are generated during the surface generation process. DEM smoothening is an important preprocessing step meant for removing these errors. …”
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Usefulness of the acoustic speech signal information in the nervous system evaluation by Cz. BASZTURA, R. PODEMSKI

“…In the paper a preliminary analysis of the possibilities of using a speech signal for the objective diagnostics assistance, as well as for monitoring the process of the reconvalescence from the nervous system diseases, was presented. …”
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Advanced Combined Multi-Criteria Decision-Making Methodology with IndetermSoft Set for Comprehensive Analysis of Blended Physical Education Teaching in Colleges Framework by Xueda Yang

“…Prioritizing and weighing criteria is a crucial step in the decision-making process for many qualities. The stepwise weight assessment ratio analysis (SWARA) is the most often used multi-criteria decision-making (MCDM) weighting methods. …”
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A statistical simulation model to guide the choices of analytical methods in arrayed CRISPR screen experiments. by Chang Sik Kim, Jonathan Cairns, Valentina Quarantotti, Bogumil Kaczkowski, Yinhai Wang, Peter Konings, Xiang Zhang

“…An arrayed CRISPR screen is a high-throughput functional genomic screening method, which typically uses 384 well plates and has different gene knockouts in different wells. Despite various computational workflows, there is currently no systematic way to find what is a good workflow for arrayed CRISPR screening data analysis. …”
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